Stage - Data & Language Analyst (F/H)

OUTSCALE

OUTSCALE, a Dassault Systèmes brand, is a leader in sustainable technology, providing trustworthy technical environments through its sovereign operator platform. The company offers unique experiences driven by passionate teams, creating Business Experiences solutions and developing its Cloud orchestrator, TINA OS. They seek a Data & Language Analyst intern for their Data Science team, focusing on AI-driven high-quality dataset development.

In this role you can expect to have the responsibilities:

• Manage data collection, annotation, and transformation to ensure high-quality input for AI models.
• Structure and enhance datasets for AI model training, inference, and evaluation, including for LLMs, NLP, and Computer Vision.
• Contribute to the data life cycle management, from ingestion to preprocessing and storage.
• Analyze data errors and quality to improve dataset consistency across projects.
• Identify biases and data gaps, suggesting improvements.
• Collaborate closely with Data Scientists and ML Engineers to align datasets with model objectives.
• Develop domain-specific lexicons, knowledge bases, and documentation for AI applications.

This role comes with the following benefits:

• Access to cutting-edge AI technologies and methodologies
• Hands-on experience with data-driven AI projects
• Collaboration with multidisciplinary teams
• Structured learning path to enhance AI and data management expertise
• Multicultural environment
• Focus on well-being and health in the workplace
• Commitment to diversity and inclusion
• Dynamic career development policy

This role requires you to have:

• Data analysis
• Data structuring
• Data annotation
• Data quality evaluation
• Collaboration in innovative environments
• Proficiency in French and English

You would benefit from having:

• Interest in AI, NLP, or LLMs
• Python (pandas, numpy, scikit-learn)
• Familiarity with Linux and Git

Dassault Systèmes is committed to fostering inclusive and diverse teams globally. They believe in empowering employees to bring their whole selves to work, fostering a culture of belonging and opportunity as part of their Workforce of the Future initiative.